SUPR
Mondays with MATLAB
Dnr:

NAISS 2024/22-826

Type:

NAISS Small Compute

Principal Investigator:

Anders Sjöström

Affiliation:

Lunds universitet

Start Date:

2024-08-01

End Date:

2024-10-16

Primary Classification:

10106: Probability Theory and Statistics

Allocation

Abstract

This workshop will take place on Monday-Wednesday, September 23-25, 2024 as a hands-on workshop focussing on deep learning with MATLAB. The workshop is designed to teach researchers how AI can accelerate HPC simulations by introducing the concepts of Deep Neural Networks, including data pre-processing, and techniques on how to build, compare and improve accuracy of deep learning models using the familiar MATLAB interface. The target group for the workshop is Swedish researchers with basic knowledge of MATLAB who are interested in understanding how to use Deep Learning with MATLAB to further their research. The lecturer is Raymond Norris (MathWorks) assisted by Pedro Ojeda (HPC2N) and Anders Sjöström (LUNARC)